How I Find My Next Mobile App Project
Finding the next mobile app is often harder than building it. Here's the process I use to look for a real problem, a reachable market, and a realistic chance of building something better.
Software Development
Notes on building and shipping software — tools, techniques, and best practices.
9 posts in this category.
A/B Testing in Mobile Apps: How I Experiment With App Store Pages, Paywalls, Onboarding, and Pricing
How I run A/B tests in mobile apps — App Store pages, onboarding, paywalls, and pricing — and how RevenueCat, Adapty, and Superwall make the loop faster.
Ameliorate: The Tool I Use to Think Through Difficult Decisions
I’ve started using Ameliorate as one of those tools that quietly becomes part of your everyday workflow.
How to Choose the Right AI Model: Balancing Quality, Performance, and Cost
One of the easiest mistakes to make when building AI-powered software is assuming that the most capable model is always the best model.
How to Use MCP Effectively for Software Development
The Model Context Protocol (MCP) is quickly becoming one of the most useful ways to connect AI assistants to real software-development environments.
The MoSCoW Method: How to Prioritize What Actually Matters
MoSCoW is a simple way to decide what must ship, what can wait, and what you are explicitly not doing — so a backlog stops pretending everything is equally important.
State of Subscription Apps 2026: The App Economy Is Growing Faster—and Getting Much Harder to Win
The subscription app economy has entered a new phase.
What Is an AI Harness?
An AI harness is the software around a model — tools, context, and runtime — that turns a raw LLM into a system that can actually get work done.
When to Use Local LLM Models
Local models are not a replacement for cloud APIs. They are a different set of trade-offs — privacy, cost, latency, and control — that win for some workloads and lose for others.